Method and system for detecting temperature of wiring terminal of electric energy meter

Abstract

The invention relates to the technical field of temperature measurement, in particular to an electric energy meter wiring terminal temperature detection method and system, and the method comprises the steps: obtaining the temperature data and current data of each wiring terminal of each electric energy meter in different time periods within a preset time period, the environment temperature of each electric energy meter, and the structure data of each electric energy meter; determining a heat dissipation condition coefficient of the wiring terminal in the time period; selecting a first time period which simultaneously satisfies a subtraction interval in the current fitting curve of all the wiring terminals of the electric energy meter, and selecting a second time period in which the mean value of the current data of each wiring terminal is the lowest from the first time period; determining an external influence index of the wiring terminal in the time period; calculating the electromagnetic interference intensity of the wiring terminal in the time period; and after parameters of Wiener filtering are set to be electromagnetic interference intensity, temperature data of the wiring terminal in the time period are subjected to noise reduction processing. According to the invention, the noise reduction effect of the temperature detection data is improved, and the authenticity and accuracy of the temperature detection data after noise reduction are further improved.

Description

Technical Field

[0001] The present invention relates to the technical field of temperature measurement, and in particular to a method and system for detecting the temperature of a connection terminal of an electric energy meter. Background Art

[0002] An electric energy meter is an instrument used to measure electricity consumption. The terminals of an electric energy meter are metal parts used to connect to external circuits. They are usually metal contacts or wiring ports that connect power lines and load lines. They are important interfaces between the electric energy meter and the power consumption system. These terminals are designed to carry and transmit current, ensuring that the electric energy meter can accurately measure the electric energy passing through. Among them, the terminals of the electric energy meter may overheat during long-term operation due to overload current, excessive contact resistance, etc. High temperature may cause electric energy meter failure, fire or power loss, so it is necessary to detect the temperature of the terminals to avoid abnormal situations.

[0003] In some scenarios, real-time monitoring of the terminals of the energy meter can be reasonably adjusted and protected to prevent damage to the energy meter and ensure the normal operation and power safety of the power grid system. During the temperature detection process of the terminals of the energy meter, there are many other electrical devices around the temperature detection equipment of the terminals of the energy meter, and its temperature detection data is easily affected by electromagnetic interference. Therefore, it is necessary to perform noise reduction processing on the temperature data of the detected terminals of the energy meter. Traditionally, preset noise reduction parameters are used to reduce the noise of temperature data. However, for the temperature data of the terminals of the energy meter, due to the different environments and surrounding electrical equipment, the temperature detection data is easily affected by different electromagnetic interference. Therefore, the effect of using preset noise reduction parameters to reduce the noise of temperature detection data is poor, resulting in low authenticity and accuracy of the temperature detection data after noise reduction. Summary of the invention

[0004] In order to solve the technical problem that the effect of denoising the temperature detection data is poor, resulting in low authenticity and accuracy of the temperature detection data after denoising, the object of the present invention is to provide a method and system for detecting the temperature of the electric energy meter terminal. The technical solution adopted is as follows: An embodiment of the present invention provides a method for detecting the temperature of a terminal block of an electric energy meter, comprising: obtaining temperature data, current data, ambient temperature of the electric energy meter and structural data of each terminal block of each electric energy meter at different time periods within a predetermined time period; determining the heat dissipation condition coefficient of the terminal block in the time period according to the structural data, current data of the time period, temperature data and ambient temperature; selecting a first time period that satisfies the decreasing interval in the current fitting curve of all the terminals of the electric energy meter at the same time, and selecting a second time period with the lowest mean value of the current data of each terminal block from the first time period; determining the external influence index of the terminal block in the time period according to the temperature data of the terminal block in the second time period, the heat dissipation condition coefficient of the terminal block in the time period, the heat dissipation condition coefficient of the terminal block in the second time period and the heat influence index of the terminal block in the time period; calculating the electromagnetic interference intensity of the terminal block in the time period according to the current data of the terminal block in the time period and the external influence index; and performing noise reduction processing on the temperature data of the terminal block in the time period after setting the parameters of the Wiener filter to the electromagnetic interference intensity.

[0005] Optionally, determining the heat dissipation condition coefficient of the terminal in a time period according to the structural data, the current data of the time period, the temperature data and the ambient temperature includes: segmenting the predetermined time period according to the current data of the electric energy meter at each detection moment in the predetermined time period to obtain multiple time periods; determining the temperature change deviation coefficient of the time period according to the first Pearson correlation coefficient between the temperature data and the current data of the electric energy meter in the time period and the second Pearson correlation coefficient between the temperature data of each terminal; determining the timing distance between the timing point of each time period of the current electric energy meter and the timing point of the nearest time period of other electric energy meters, the nearest time period being the time period closest to the time period of the current electric energy meter ... temperature change deviation coefficient of the time period according to the first Pearson correlation coefficient between the temperature data and the current data of the electric energy meter in the time period and the second Pearson correlation coefficient between the temperature data of each terminal; determining the temperature change deviation coefficient of the time period according to the first Pearson correlation coefficient between the temperature data and the temperature data of each terminal; determining the temperature change deviation coefficient of the time period according to the first Pearson correlation coefficient between the temperature data and the temperature data of each terminal; determining the temperature change deviation coefficient of the time period according to the first Pearson correlation coefficient between the temperature data and the temperature data of each terminal; determining the temperature change deviation coefficient of the time period according to the first Pearson correlation coefficient between the temperature data and the temperature data of each terminal; Determine the heat impact index of the current terminals of the electric energy meter in the time period based on the temperature data, current data, the time distance between the time point of each time period and the time point of the nearest time period of other electric energy meters, the average current data of the time points of the nearest time period of other electric energy meters, and the temperature change deviation coefficient of each time period; determine the terminal structure data of the current electric energy meter based on the distance between the terminals of the current electric energy meter and the average current of the current data in the time period; calculate the first difference between the temperature average value of the terminals of the current electric energy meter in the time period and the ambient temperature data of the environment; determine the heat dissipation condition coefficient of the terminals of the electric energy meter in the time period based on the terminal structure data of the electric energy meter and the first difference.

[0006] Optionally, determining the temperature change deviation coefficient of a time period based on a first Pearson correlation coefficient between the temperature data and the current data of the electric energy meter within the time period and a second Pearson correlation coefficient between the temperature data of each terminal includes: calculating the reciprocal of the sum of the first sum between the first Pearson correlation coefficient and the second Pearson correlation coefficient and a predetermined value as the temperature change deviation coefficient of the time period.

[0007] Optionally, based on the temperature data and current data of the timing points in each time period of the current electric energy meter, the timing distance between the timing points in each time period and the timing points in the nearest time period of other electric energy meters, the average value of the current data of the timing points in the nearest time period of other electric energy meters, and the temperature change deviation coefficient of each time period, determining the heat impact index of the terminal blocks of the current electric energy meter in the time period includes: calculating the first product between the normalized value of the timing distance and the average value, and superimposing the first products to obtain a first superimposed value; calculating the first ratio between the current data and the temperature data of the timing points in each time period of the current electric energy meter, and calculating the second product of each first ratio and the first superimposed value, and superimposing the second products to obtain a second superimposed value; calculating the second ratio between the temperature change deviation coefficient of the time period and the number of timing points in the time period to obtain the heat impact index of the terminal blocks of the current electric energy meter in the time period.

[0008] Optionally, determining the heat dissipation condition coefficient of the connection terminal of the electric energy meter in the time period based on the terminal structure data of the electric energy meter and the first difference includes: calculating a third ratio between the first difference and the terminal structure data of the electric energy meter; normalizing the third ratio to obtain the heat dissipation condition coefficient of the connection terminal in the time period.

[0009] Optionally, determining the external impact index of the terminal in the time period based on the temperature data of the terminal in the second time period, the heat dissipation condition coefficient of the terminal in the time period, the heat dissipation condition coefficient of the terminal in the second time period and the heat impact index of the terminal in the time period includes: calculating the derivative mean of the fitting curve of the temperature data of each terminal in the second time period, and using the derivative mean to determine the external impact reference parameter of each terminal; calculating the second difference between the heat dissipation condition coefficient of the terminal in the time period and the heat dissipation condition coefficient of the terminal in the second time period, and using the second difference to calculate the difference in the heat dissipation condition coefficient of the terminal in the time period; determining the external environment heat dissipation influence factor of the terminal in the time period based on the external impact reference parameter and the difference in the heat dissipation condition coefficient; determining the external impact index of the terminal in the time period based on the external environment heat dissipation influence factor and the heat impact index of the terminal in the time period.

[0010] Optionally, determining the external environment heat dissipation influence factor of the terminal in the time period according to the external influence reference parameter and the heat dissipation condition coefficient difference includes: determining the third product between the external influence reference parameter and the heat dissipation condition coefficient difference as the external environment heat dissipation influence factor of the terminal in the time period.

[0011] Optionally, determining the external impact index of the terminal in the time period according to the external environment heat dissipation impact factor and the heat impact index of the terminal in the time period includes: determining a fourth ratio between the heat impact index and the external environment heat dissipation impact factor as the external impact index of the terminal in the time period.

[0012] Optionally, calculating the electromagnetic interference intensity of the wiring terminal in the time period through the current data of the wiring terminal in the time period and the external influence index includes: determining the current characteristics of the wiring terminal in the time period through the current data of the wiring terminal at each time point in the time period; calculating the fourth product between the external influence index and the current characteristics, and normalizing the fourth product using a hyperbolic tangent function to obtain the electromagnetic interference intensity of the wiring terminal in the time period.

[0013] In the second aspect, an embodiment of the present invention discloses a temperature detection system for the connection terminals of an electric energy meter, comprising: a processor and a memory; wherein the memory is used to store a computer program that can be run on the processor; and the processor is used to execute the program stored in the memory to implement the steps of the temperature detection method for the connection terminals of the electric energy meter as mentioned in the first aspect.

[0014] The present invention has the following beneficial effects: the embodiment of the present invention can collect the temperature data and current data of the terminals of the electric energy meter, calculate the heat dissipation condition coefficients of different time periods according to the temperature data and current data of different terminals, and after selecting the second time period with the lowest mean value of the current data of the terminals, combine the heat dissipation condition coefficients, temperature data and heat impact index of each time period to determine the external impact index, and further analyze the electromagnetic interference intensity of each time period. In this way, the embodiment of the present invention uses the external impact index to represent the impact of the environment in which the electric energy meter is located and the surrounding electrical equipment on the temperature data, thereby determining the electromagnetic interference intensity applicable to the terminals of the current electric energy meter, improving the effect of denoising the temperature detection data, and further improving the authenticity and accuracy of the temperature detection data after denoising. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] In order to more clearly illustrate the technical solutions and advantages in the embodiments of the present invention or the prior art, the drawings required for use in the embodiments or the prior art descriptions are briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0016] Figure 1 A flow chart of a method for detecting the temperature of a connection terminal of an electric energy meter provided by an embodiment of the present invention; Figure 2 A schematic diagram of a curve of current intensity provided by an embodiment of the present invention; Figure 3 A schematic structural diagram of a temperature detection system for an electric energy meter terminal block provided by an embodiment of the present invention. DETAILED DESCRIPTION

[0017] In order to further explain the technical means and effects adopted by the present invention to achieve the predetermined invention purpose, the following is a detailed description of the temperature detection method and system of the electric energy meter terminal proposed by the present invention, its specific implementation method, structure, characteristics and effects, in combination with the accompanying drawings and preferred embodiments. In the following description, different "one embodiment" or "another embodiment" does not necessarily refer to the same embodiment. In addition, specific features, structures or characteristics in one or more embodiments may be combined in any suitable form.

[0018] Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs.

[0019] A specific scheme of a method for detecting the temperature of a connection terminal of an electric energy meter provided by the present invention is described in detail below in conjunction with the accompanying drawings.

[0020] Embodiment 1: See also Figure 1 , which shows a flow chart of a method for detecting the temperature of an electric energy meter connection terminal provided by an embodiment of the present invention, including: Step S101, obtaining temperature data, current data, ambient temperature of each terminal of each electric energy meter at different time periods within a predetermined time period, and structural data of each electric energy meter.

[0021] Specifically, the main function of an electric energy meter is to measure electric energy consumption. It calculates the electric energy used by the user in a certain period of time by measuring the current and voltage in the circuit of the electric energy meter. For household electric energy meters, the electric energy meter is usually a single-phase electric energy meter, which can be directly connected to the line for detection; in order to ensure the safe and stable operation of the electric energy meter, it is necessary to detect the temperature of the wiring terminals of the electric energy meter. Among them, the temperature sensor can be set at the wiring terminal to collect the temperature data of the wiring terminal in real time. The temperature sensor can use PT100 or NTC thermistor to monitor the temperature of the wiring terminal. The electric energy meter usually has multiple wiring terminals. The current fluctuation of the wiring terminal is the main factor causing the temperature change of the wiring terminal. Each wiring terminal is provided with a current sensor to monitor the current data at each wiring terminal. Exemplarily, the current data can be the current intensity, such as Figure 2 As shown, Figure 2 A schematic diagram of a current intensity curve provided by an embodiment of the present invention, Figure 2 In the figure, the horizontal axis is time, and the vertical axis is the data value of the corresponding current intensity at different time points. The ambient temperature of the electric energy meter refers to the ambient temperature of the environment in which the electric energy meter is located, and the structural data of the electric energy meter are the distance between the wiring terminals of the electric energy meter and the setting position of the wiring terminals.

[0022] Furthermore, the predetermined time period can be determined according to actual conditions, and in the embodiment of the present invention, the value is 7 days. Different time periods within the predetermined time period can be to divide the predetermined time period into multiple time periods, or to divide the predetermined time period into sections by the derivative of the fitting curve of the current data within the predetermined time period.

[0023] As an optional embodiment of the present invention, the embodiment of the present invention uses the derivative of the fitting curve of the current data within the predetermined time period to segment the predetermined time period. First, the temperature data of the terminal block must be processed, and the influencing factors that affect the temperature data of the terminal block must be analyzed, and the actual change characteristics of the temperature data of the terminal block must be evaluated. The temperature of the terminal block is mainly affected by the current intensity passing through the terminal block, so the temperature change of the terminal block can be evaluated and analyzed by the change of the current intensity of the terminal block. In the embodiment of the present invention, the current data and temperature data of the past 7 days are selected, and the current data and temperature data are divided into days. In the daily use of household electric energy meters, the consumption of household electric energy has an ups and downs process in different time periods. For the terminal block of the electric energy meter, the change law can be reflected by the current data passing through the terminal block. Then, the least squares method is used to average the daily current data of each terminal block and fit it to obtain the current data fitting curve to eliminate the influence of subtle data changes on the interval division. Secondly, the current data fitting curve is divided into multiple monotonic intervals by calculating the derivative of each point on the current data fitting curve, and then the segmentation method of the current data fitting curve is synchronized to the temperature data curve, and the temperature data curve is divided into multiple time periods. In this embodiment, the segmentation method is synchronized to the current data and temperature data in the last 24 hours.

[0024] Step S102, determining the heat dissipation condition coefficient of the connection terminal in the time period according to the structure data, the current data of the time period, the temperature data and the ambient temperature.

[0025] Specifically, in an ideal situation, the temperature of the terminal is affected by the current load. The higher the current load, the greater the heat generated at the terminal. In actual situations, the temperature data of the terminal is affected by environmental factors such as heat dissipation conditions and surface coatings in addition to the electromagnetic interference factors during the detection process. When using the complex correlation between temperature and current to evaluate the electromagnetic interference intensity, it is necessary to exclude the influence of environmental factors on the temperature of the terminal.

[0026] Further, when determining the heat dissipation condition coefficient of the terminal block in each time period, as an optional embodiment of the present invention, firstly, the predetermined time period is segmented according to the current data of the electric energy meter at each detection moment in the predetermined time period to obtain a plurality of time periods; then, the temperature change deviation coefficient of the time period is determined according to the first Pearson correlation coefficient between the temperature data and the current data of the electric energy meter in the time period and the second Pearson correlation coefficient between the temperature data of each terminal block; secondly, the time sequence distance between the timing point of each time period of the current electric energy meter and the timing point of the nearest time period of other electric energy meters is determined, and the nearest time period is the time period closest to the time period of the current electric energy meter; and according to the temperature data of the timing points of each time period of the current electric energy meter, the time sequence distance between the timing points of the nearest time period of other electric energy meters is determined. According to the data, current data, the time distance between the time point of each time period and the time point of the nearest time period of other electric energy meters, the average value of the current data of the time point of the nearest time period of other electric energy meters and the temperature change deviation coefficient of each time period, the heat impact index of the terminal of the current electric energy meter in the time period is determined; then according to the distance between the terminals of the current electric energy meter and the average current of the current data in the time period, the terminal structure data of the current electric energy meter is determined; secondly, the first difference between the temperature average value of the terminals of the current electric energy meter in the time period and the ambient temperature data of the environment is calculated; finally, the heat dissipation condition coefficient of the terminal of the electric energy meter in the time period is determined according to the terminal structure data of the electric energy meter and the first difference.

[0027] Specifically, the segmentation of the predetermined time period according to the current data of the electric energy meter at each detection time within the predetermined time period can be referred to the description of the above embodiment, and the embodiment of the present invention will not be repeated here. Since the temperature change has a certain delay compared with the terminal current change, the embodiment of the present invention uses the dynamic time warping (DTW) algorithm to map the current data and the temperature data, and then calculates the first Pearson correlation coefficient of each current data and the temperature data of the corresponding terminal after DTW processing. represents the first Pearson correlation coefficient. Then calculate the second Pearson correlation coefficient between the temperature data of the current terminal and other terminals. In calculating the temperature variation deviation coefficient, as an optional embodiment of the present invention, the inverse of the sum of the first sum value between the first Pearson correlation coefficient and the second Pearson correlation coefficient and the predetermined value is calculated as the temperature variation deviation coefficient of the time period.

[0028] More specifically, in the embodiment of the present invention, the predetermined value may be 1, and the embodiment of the present invention specifically uses the following formula to calculate the temperature variation deviation coefficient: In the above formula, Indicates the temperature variation coefficient. represents the first Pearson correlation coefficient. represents the second Pearson correlation coefficient, Indicates a predetermined value.

[0029] Among them, the temperature change deviation coefficient reflects the difference between the temperature change of heat caused by the current data in the current period and the ideal situation. For household electric energy meters, the access current change of its terminal has certain timing characteristics. That is, the concentrated period of daily household electricity use is usually different from the general period. In order to increase the accuracy of the subsequent analysis of external influencing factors, after obtaining the temperature change deviation coefficient of different periods, it is also necessary to analyze the temperature change trend of the power load in different periods. Among them, the embodiment of the present invention can analyze the current temperature change trend of different periods through the data change of historical data, and it is necessary to evaluate the impact of the heat generated by the current data in different periods on the temperature. Residential electric energy meters are usually installed in the stairwell. The heat generated by the current through the terminal affects the temperature change of the terminal. It is affected by the heat generated by other electric energy meters around. The power consumption of residential buildings in different periods is different. In the period of relatively concentrated power consumption, the heat generated by other electric energy meters is relatively high. At this time, the temperature detection process of the terminal is easily affected by the heat generated by other electric energy meters. Therefore, in the embodiment of the present invention, the current data and temperature data of other electric energy meters are obtained, and the current data and temperature data of other electric energy meters are processed in segments by the segmentation method in the above embodiment of the present invention. When the segmentation state of other electric energy meters is closer to that of the current electric energy meter, it means that the heat generation period of each electric energy meter is more concentrated, and at this time, when the current of other electric energy meters is large, the influence of the temperature data of the current electric energy meter is greater.

[0030] Furthermore, the embodiment of the present invention obtains the time sequence distance between the time sequence point of each time period of the current electric energy meter and the time sequence point of the nearest time period of other electric energy meters, which is recorded as s in the embodiment of the present invention. The larger the time sequence distance s is, the smaller the difference between the electric energy consumption trend of the current electric energy meter and that of other electric energy meters is, and in the current time period, the temperature of the connection terminal of the current electric energy meter is more affected by the heat generated by other electric energy meters under high current conditions.

[0031] Furthermore, when determining the heat impact index of the terminal blocks of the current electric energy meter in a time period, as an optional embodiment of the present invention, firstly, the first product between the normalized value of the timing distance and the average value is calculated, and each first product is superimposed to obtain a first superimposed value; then, the first ratio between the current data and the temperature data of the timing points in each time period of the current electric energy meter is calculated, and the second product of each first ratio and the first superimposed value is calculated, and each second product is superimposed to obtain a second superimposed value; finally, the second ratio between the temperature change deviation coefficient of the time period and the number of timing points in the time period is calculated to obtain the heat impact index of the terminal blocks of the current electric energy meter in the time period.

[0032] Specifically, the embodiment of the present invention specifically uses the following formula to calculate the heat impact index of the current terminal of the electric energy meter in the time period: In the above formula, Indicates the thermal impact index of the terminal blocks of the electric energy meter in the current period. Indicates the temperature variation deviation coefficient. n indicates the number of sampling points of the current electric energy meter in the current period. m indicates the number of other electric energy meters. Represents the temperature data of the current electric energy meter at the i-th time point in the current period, that is, the temperature value. Represents the current data of the current electric energy meter at the i-th time point in the current period, that is, the current value. It represents the average value of the current value at the i-th time point in the current period and the time point of the j-th electric energy meter in the other electric energy meters in the most recent period. Represents the normalized value of the time sequence distance between the i-th time sequence point in the current time period and the time sequence point of the j-th electric energy meter in the nearest time period. Indicates the deviation effect of the current heat generation at each time point in the current period on the temperature, and As one of the factors that reflects the influence of the heat generated by the jth electric energy meter on the current temperature detection, After adjusting it as a weight, combined with the current-temperature variation deviation coefficient, It reflects the heat impact index of the terminal blocks of the electric energy meter in the current period. The larger the value is, the greater the influence of other electric energy meters on the temperature change trend of the terminal blocks of the current electric energy meter in the current period. The temperature change trend of the electric energy meter in the current period is difficult to be directly reflected by the change of current data.

[0033] Furthermore, after obtaining the temperature variation deviation coefficient of each terminal temperature in different time periods, according to the above analysis, the temperature variation deviation is composed of environmental factors and electromagnetic interference factors. Therefore, in order to accurately analyze the electromagnetic interference intensity, it is also necessary to analyze the external temperature influence of different terminals. Among them, the terminals at different positions in the electric energy meter usually have different heat dissipation conditions. For a certain terminal, the less heat generated by the surrounding heating elements and the farther the distance, the smaller the influence of other heating elements on it. Therefore, as an optional embodiment of the present invention, the design structure information of the terminal of the current electric energy meter is obtained, specifically including the distance between the terminals of the electric energy meter; for a certain terminal, the average value of the current data of the terminal and other terminals in the same time period and the average of the distance ratio are calculated. In the embodiment of the present invention, the average of the ratio is calculated by express, Indicates the terminal structure data of the current energy meter. According to the above analysis, the larger the ratio, the more likely the heat generated by other terminals will produce a high temperature environment, and the worse the heat dissipation condition of the current terminal. In addition, in addition to the heat dissipation conditions reflected by the influence of other terminals, the influence of heat dissipation conditions is also reflected in the ambient temperature. A high temperature environment will cause the temperature at the terminal of the energy meter to be relatively high, thereby affecting its heat dissipation speed. A low temperature environment helps to improve the heat dissipation efficiency, because the temperature difference between the terminal and the surrounding air is large, which helps the conduction of heat.

[0034] Furthermore, the embodiment of the present invention uses the Internet to obtain the ambient temperature data of the current location of the electric energy meter at different time periods, and then calculates the first difference between the average temperature of different terminals in each time period and the ambient temperature. According to national regulations, the installation location of the energy meter is mainly in the shared stairwell of the building. Usually, the stairwell of the building is used as a public evacuation passage of the building and is not designed as a heating or cooling area. Therefore, the ambient temperature data can be used as the temperature reference data of the environment where the energy meter is located.

[0035] Furthermore, when determining the heat dissipation condition coefficient of the terminal of the electric energy meter in a time period, as an optional embodiment of the present invention, the third ratio between the first difference and the terminal structure data of the electric energy meter is first calculated; then the third ratio is normalized to obtain the heat dissipation condition coefficient of the terminal in the time period.

[0036] Specifically, the embodiment of the present invention specifically uses the following formula to calculate the heat dissipation condition coefficient of the connection terminal in the time period: In the above formula, Indicates the heat dissipation condition coefficient of the terminal block during the period. Indicates the first difference between the average temperature of different terminals in each time period and the ambient temperature. Represents the current electric energy meter terminal structure data. The sigmoid function is used to Normalization processing is performed to set the value range of the calculation result between (0, 1). The larger the value is, the better the environmental heat dissipation condition of the current power meter terminal in this period is, and the less the accumulated heat generated by the terminal is.

[0037] Step S103, selecting a first time period that satisfies the decreasing interval in the current fitting curve of all the terminals of the electric energy meter, and selecting a second time period in which the mean value of the current data of each terminal is the lowest from the first time period.

[0038] Specifically, the heat dissipation conditions analyzed only by the external environment information fail to take into account the actual change factors of the temperature data, and it is also necessary to further evaluate the heat dissipation influencing factors of the external environment in combination with the change characteristics of the actual temperature data of each terminal. The electromagnetic interference received by the temperature sensor detection process is related to the current passing through the terminal. The greater the current intensity passing through the terminal, the higher the electromagnetic interference intensity generated. For the time interval with low current intensity, its temperature change is mainly affected by environmental factors. Therefore, it is necessary to further evaluate the external influencing factors in combination with the time interval with low current intensity. In the embodiment of the present invention, the time period of the reduction interval in the current fitting curve of all terminals is selected at the same time. Such intervals represent the part where the current load passing through the terminal is weakened. At this time, the current heat generation capacity of the terminal gradually decreases. In the current data of the reduction interval, the smaller the overall current intensity, the weaker the degree of electromagnetic interference, and the degree of temperature reduction of the terminal at this time can better reflect the current actual external influence characteristics. Take the time period with the lowest mean value of the current passing through each terminal in the above-mentioned reduction interval, and use it as the external influence reference time period, that is, the second time period.

[0039] Step S104, determining the external influence index of the terminal in the time period according to the temperature data of the terminal in the second time period, the heat dissipation condition coefficient of the terminal in the time period, the heat dissipation condition coefficient of the terminal in the second time period and the heat influence index of the terminal in the time period.

[0040] Specifically, after the second time period is determined by the above-mentioned embodiment of the present invention, the derivative mean of the fitting curve of the temperature data of each terminal in the second time period is calculated, and the derivative mean is used to determine the external influence reference parameter of each terminal; the second difference between the heat dissipation condition coefficient of the terminal in the time period and the heat dissipation condition coefficient of the terminal in the second time period is calculated, and the second difference is used to calculate the difference in the heat dissipation condition coefficient of the terminal in the time period; the external environment heat dissipation influence factor of the terminal in the time period is determined according to the external influence reference parameter and the difference in the heat dissipation condition coefficient; the external influence index of the terminal in the time period is determined according to the external environment heat dissipation influence factor and the heat influence index of the terminal in the time period.

[0041] More specifically, in the embodiment of the present invention, for a certain terminal, the derivative mean of the fitting curve of the external influence including the temperature data in the second period is calculated. , and then use Adjust the logical relationship. In the embodiment of the present invention, this value is Indicates the external influence reference parameter of the terminal. The larger the value, the more obvious the influence of the current external environment on the temperature data change of the terminal. For other time periods, the external environment heat dissipation influence factor of the temperature change can be calculated by the difference in heat dissipation conditions between the current time period and the second time period. The greater the difference in heat dissipation conditions from the second time period, the greater the difference between the external environment heat dissipation influence factor of this time period and the external influence reference parameter.

[0042] Furthermore, in the embodiment of the present invention, for a certain terminal, a second difference between the heat dissipation condition coefficient of a certain period of time and the heat dissipation condition coefficient of a second period of time affected by the outside world is calculated, and the value range of the second difference is set to (0, 2) after multiplying by 2 using the sigmoid function to obtain the difference in the heat dissipation condition coefficient of the terminal in the period of time. In the embodiment of the present invention, Indicates the difference in heat dissipation coefficient of the terminal block during the time period.

[0043] Further, as an optional embodiment of the present invention, determining the external environment heat dissipation influence factor of the terminal in a time period based on the difference between the external influence reference parameter and the heat dissipation condition coefficient includes: determining the third product between the external influence reference parameter and the heat dissipation condition coefficient difference as the external environment heat dissipation influence factor of the terminal in the time period.

[0044] Specifically, the embodiment of the present invention specifically uses the following formula to calculate the external environment heat dissipation influence factor of the connection terminal in the time period: In the above formula, Indicates the influence factor of external environment heat dissipation of the terminal block during the period. Indicates the difference in heat dissipation coefficient of the terminal block during the time period. Indicates the reference parameter of the external influence on the terminal. When the heat dissipation condition is better in the current period than in the second period, the influence of the external environment on the temperature data change is greater than that in the second period. Adjust the reference parameters for external influences.

[0045] Furthermore, to evaluate the electromagnetic interference intensity of temperature data at different time periods, it is necessary to combine the interference factors of temperature data and the temperature change deviation. As an optional embodiment of the present invention, the fourth ratio between the heat impact index and the external environment heat dissipation impact factor is determined as the external impact index of the terminal in the time period.

[0046] Specifically, the embodiment of the present invention specifically uses the following formula to calculate the external influence index of the connection terminal in the time period: In the above formula, Indicates the external influence index of the terminal in the time period. Indicates the thermal impact index of the terminal blocks of the electric energy meter in the current period. Indicates the external environment heat dissipation impact factor of the terminal in the time period. The more obvious the heat received in the current time period is, and the smaller the external environment heat dissipation impact factor is, it means that the temperature change deviation in the current time period is more caused by the electromagnetic interference generated by the electric energy meter, and the electromagnetic interference intensity in this time period is greater.

[0047] Step S105 , calculating the electromagnetic interference intensity of the connection terminal in the time period according to the current data of the connection terminal in the time period and the external influence index.

[0048] Specifically, for the temperature detection process of the terminal blocks of residential electricity meters, the electromagnetic interference generated by the current passing through it is affected by the current intensity. At the same time, when problems such as poor contact occur on the surface of the terminal blocks, the current passing through the terminal blocks may experience certain high-frequency changes. At this time, the electromagnetic interference generated by the current is stronger.

[0049] Furthermore, as an optional embodiment of the present invention, the current characteristics of the terminal in the time period are first determined by the current data of the terminal at each time point in the time period; then the fourth product between the external influence index and the current characteristic is calculated, and the fourth product is normalized using the hyperbolic tangent function to obtain the electromagnetic interference intensity of the terminal in the time period.

[0050] Specifically, the average current intensity of the current passing through each terminal in the current period is calculated, and the average of the absolute values ​​of the difference between the current at each timing point and the current at the adjacent timing point is calculated, that is, the average of the absolute values ​​of the first data difference between the i-th data point and the i-1-th data point and the average of the absolute values ​​of the second data difference between the i-th data point and the i+1-th data point. After multiplying the average of the absolute values ​​of the first data difference and the average of the absolute values ​​of the second data difference, the value is calculated by It indicates the current characteristics of the terminal in the time period, that is, the impact of the current characteristics passing through the terminal on the electromagnetic interference intensity. The larger the value, the higher the electromagnetic interference intensity generated by the current characteristics.

[0051] Furthermore, the embodiment of the present invention uses the following formula to calculate the electromagnetic interference intensity of the terminal in the time period: In the above formula, Indicates the electromagnetic interference intensity of the terminal in the time period. represents the hyperbolic tangent function, which is used to Perform normalization. Indicates the external influence index of the terminal in the time period. Indicates the current characteristics of the terminal in the time period.

[0052] Step S106, setting the parameter of the Wiener filter to the electromagnetic interference intensity and performing noise reduction processing on the temperature data of the terminal in the time period.

[0053] Specifically, after obtaining the electromagnetic interference intensity of temperature data in different periods, the temperature data in the current period is filtered and denoised using the Wiener filter, and the Wiener filter parameter k is set to , the temperature data of the corresponding period is subjected to noise reduction, and the processing process is optimized by electromagnetic interference intensity parameters.

[0054] Furthermore, after obtaining the temperature data after noise reduction processing, the temperature data change trend of the current period is analyzed. When the temperature data of the current period is in the increasing range, and the temperature data after noise reduction processing is higher than 80% of the threshold temperature of the terminal, a warning is issued.

[0055] The embodiment of the present invention can collect the temperature data and current data of the terminals of the electric energy meter, calculate the heat dissipation condition coefficients of different time periods according to the temperature data and current data of different terminals, and after selecting the second time period with the lowest mean value of the current data of the terminals, determine the external influence index by combining the heat dissipation condition coefficient, temperature data and heat influence index of each time period, and further analyze the electromagnetic interference intensity of each time period. In this way, the embodiment of the present invention uses the external influence index to represent the influence of the environment in which the electric energy meter is located and the surrounding electrical equipment on the temperature data, thereby determining the electromagnetic interference intensity applicable to the terminals of the current electric energy meter, improving the effect of denoising the temperature detection data, and further improving the authenticity and accuracy of the temperature detection data after denoising.

[0056] Embodiment 2: Corresponding to the electric energy meter terminal temperature detection method provided in the above embodiment, based on the same technical concept, the embodiment of the present invention also provides an electric energy meter terminal temperature detection system, which is used to execute the above electric energy meter terminal temperature detection method. Figure 3 A schematic diagram of a temperature detection system for an electric energy meter terminal block is provided to implement various embodiments of the present invention. Figure 3 As shown in the hardware level, the temperature detection system of the electric energy meter terminal includes a processor, and optionally, an internal bus, a network interface, and a memory. Among them, the memory may include a memory, such as a high-speed random access memory (RAM), and may also include a non-volatile memory (non-volatile memory), such as at least one disk storage. Of course, the temperature detection system of the electric energy meter terminal may also include hardware required for other services.

[0057] The processor, network interface and memory can be interconnected through an internal bus, which can be an Industry Standard Architecture (ISA) bus, a Peripheral Component Interconnect (PCI) bus or an Extended Industry Standard Architecture (EISA) bus. The bus can be divided into an address bus, a data bus, a control bus, etc. For ease of representation, only one bidirectional arrow is used in the figure, but it does not mean that there is only one bus or one type of bus.

[0058] The memory is used to store programs. Specifically, the program may include program code, and the program code includes computer operation commands. The memory may include internal memory and non-volatile memory, and provide instructions and data to the processor.

[0059] The processor reads the corresponding computer program from the non-volatile memory into the memory and then runs it, forming a device for locating the specified user at the logical level. The processor executes the program stored in the memory and is specifically used to execute: Figure 1 The method disclosed in the illustrated embodiment implements the functions and beneficial effects of each method in the previous method embodiments, which will not be described in detail here.

[0060] It should be noted that the electric energy meter terminal temperature detection system provided in the embodiment of the present invention and the electric energy meter terminal temperature detection method provided in the embodiment of the present invention are based on the same application concept. Therefore, the specific implementation of this embodiment can refer to the implementation of the aforementioned electric energy meter terminal temperature detection method, and has the same or similar beneficial effects, and the repeated parts will not be repeated.

[0061] It should be noted that the sequence of the above embodiments of the present invention is only for description and does not represent the advantages and disadvantages of the embodiments. The processes depicted in the accompanying drawings do not necessarily require the specific order or continuous order shown to achieve the desired results. In some embodiments, multitasking and parallel processing are also possible or may be advantageous.

[0062] The various embodiments in this specification are described in a progressive manner, and the same or similar parts between the various embodiments can be referenced to each other, and each embodiment focuses on the differences from other embodiments.

Claims

1. A method for detecting the temperature of an electric energy meter terminal, characterized in that: The method for detecting the temperature of the electric energy meter connection terminals comprises: Acquire temperature data, current data, ambient temperature of each terminal of each electric energy meter at different time periods within a predetermined time period, and structural data of each electric energy meter; Determine the heat dissipation condition coefficient of the terminal block in the time period according to the structure data, the current data in the time period, the temperature data and the ambient temperature; Selecting a first time period that satisfies the decreasing interval in the current fitting curve of all the terminals of the electric energy meter at the same time, and selecting a second time period in which the mean value of the current data of each terminal is the lowest from the first time period; Determine the external influence index of the terminal in the period according to the temperature data of the terminal in the second period, the heat dissipation condition coefficient of the terminal in the period, the heat dissipation condition coefficient of the terminal in the second period, and the heat influence index of the terminal in the period; Calculating the electromagnetic interference intensity of the wiring terminal in the period of time by using the current data of the wiring terminal in the period of time and the external influence index; After setting the parameter of the Wiener filter to the electromagnetic interference intensity, the temperature data of the terminal in the time period is subjected to noise reduction processing.

2. The method for detecting the temperature of the electric energy meter connection terminals according to claim 1, characterized in that: Determining the heat dissipation condition coefficient of the terminal in the time period according to the structure data, the current data in the time period, the temperature data and the ambient temperature includes: Dividing the predetermined time period into segments according to the current data of the electric energy meter at each detection time within the predetermined time period to obtain a plurality of time periods; Determine the temperature variation deviation coefficient of the time period according to a first Pearson correlation coefficient between the temperature data and the current data of the electric energy meter in the time period and a second Pearson correlation coefficient between the temperature data of each terminal; Determine the time sequence distance between the time sequence points of each time period of the current electric energy meter and the time sequence points of the nearest time period of other electric energy meters, wherein the nearest time period is the time sequence closest to the time period of the current electric energy meter; Determine the heat impact index of the connection terminal of the current electric energy meter in the time period according to the temperature data and current data of the time points of each time period of the current electric energy meter, the time distance between the time points of each time period and the time points of the nearest time period of other electric energy meters, the average value of the current data of the time points of the nearest time period of other electric energy meters, and the temperature change deviation coefficient of each time period; Determine the electric energy meter terminal structure data of the current electric energy meter according to the distance between each of the connection terminals of the current electric energy meter and the average current of the current data in the time period; Calculate a first difference between the average temperature of each of the wiring terminals of the current electric energy meter during the time period and the ambient temperature data of the environment in which the terminal is located; The heat dissipation condition coefficient of the connection terminal of the electric energy meter in the time period is determined according to the electric energy meter terminal structure data and the first difference.

3. The method for detecting the temperature of the electric energy meter connection terminals according to claim 2, characterized in that: Determining the temperature variation deviation coefficient of the time period according to the first Pearson correlation coefficient between the temperature data and the current data of the electric energy meter in the time period and the second Pearson correlation coefficient between the temperature data of each terminal comprises: The inverse of the sum of a first sum value between the first Pearson correlation coefficient and the second Pearson correlation coefficient and a predetermined value is calculated as the temperature change deviation coefficient of the time period.

4. The method for detecting the temperature of the electric energy meter connection terminals according to claim 2, characterized in that: Determining the heat impact index of the connection terminal of the current electric energy meter in the time period according to the temperature data and current data of the time points of each time period of the current electric energy meter, the time distance between the time points of each time period and the time points of the nearest time period of other electric energy meters, the average value of the current data of the time points of the nearest time period of other electric energy meters, and the temperature change deviation coefficient of each time period includes: Calculating a first product between the normalized value of the time series distance and the average value, and superimposing each of the first products to obtain a first superposition value; Calculating a first ratio between current data and temperature data at a time point in each time period of the current electric energy meter, calculating a second product of each of the first ratios and the first superposition value, and superimposing each of the second products to obtain a second superposition value; A second ratio between the temperature change deviation coefficient of the time period and the number of timing points in the time period is calculated to obtain a heat impact index of the connection terminal of the current electric energy meter in the time period.

5. The method for detecting the temperature of the electric energy meter connection terminals according to claim 2, characterized in that: The step of determining the heat dissipation condition coefficient of the connection terminal of the electric energy meter in the time period according to the electric energy meter terminal structure data and the first difference value comprises: Calculating a third ratio between the first difference and the electric energy meter terminal structure data; The third ratio is normalized to obtain a heat dissipation condition coefficient of the connection terminal in the time period.

6. The method for detecting the temperature of the electric energy meter connection terminals according to any one of claims 1 to 5, characterized in that: Determining the external influence index of the terminal in the period according to the temperature data of the terminal in the second period, the heat dissipation condition coefficient of the terminal in the period, the heat dissipation condition coefficient of the terminal in the second period, and the heat influence index of the terminal in the period includes: Calculating a derivative mean of a fitting curve of the temperature data of each of the connecting terminals in the second period, and determining an external influence reference parameter of each of the connecting terminals using the derivative mean; Calculating a second difference between the heat dissipation condition coefficient of the connection terminal in the time period and the heat dissipation condition coefficient of the connection terminal in the second time period, and using the second difference to calculate the difference in the heat dissipation condition coefficient of the terminal in the time period; Determine the external environment heat dissipation influence factor of the connection terminal in the said time period according to the difference between the said external influence reference parameter and the said heat dissipation condition coefficient; The external environment impact index of the connection terminal in the time period is determined according to the external environment heat dissipation impact factor and the heat impact index of the connection terminal in the time period.

7. The method for detecting the temperature of the electric energy meter connection terminals according to claim 6, characterized in that: The determining of the external environment heat dissipation influence factor of the connection terminal in the time period according to the external influence reference parameter and the difference of the heat dissipation condition coefficient comprises: A third product between the external influence reference parameter and the heat dissipation condition coefficient difference is determined as the external environment heat dissipation influence factor of the connection terminal in the time period.

8. The method for detecting the temperature of the electric energy meter connection terminals according to claim 6, characterized in that: Determining the external impact index of the terminal in the time period according to the external environment heat dissipation impact factor and the heat impact index of the terminal in the time period includes: A fourth ratio between the heat impact index and the external environment heat dissipation impact factor is determined as the external environment impact index of the connection terminal in the time period.

9. The method for detecting the temperature of the electric energy meter connection terminals according to claim 1, characterized in that: The calculating the electromagnetic interference intensity of the wiring terminal in the time period by using the current data of the wiring terminal in the time period and the external influence index comprises: Determine the current characteristics of the wiring terminal in the time period through the current data of the wiring terminal at each time point in the time period; A fourth product between the external influence index and the current characteristic is calculated, and the fourth product is normalized using a hyperbolic tangent function to obtain the electromagnetic interference intensity of the connection terminal in the time period.

10. A temperature detection system for electric energy meter terminals, characterized in that: include: A processor and a memory; wherein the memory is used to store a computer program that can be run on the processor; The processor is used to execute the program stored in the memory to implement the steps of the method for detecting the temperature of the electric energy meter connection terminals as described in any one of claims 1 to 9.

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